Does directed technological change get greener: Empirical evidence from Shanghai's industrial green development transformation

By Shuai Shao, Ranran Luan, Zhenbing Yang, Chengyu Li. 2016

178 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/99568b4c7e84118c595e801d10c65cb70e505faa

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Shuai Shao
2. Shuang Ma
3. Zhenbing Yang
4. Lili Yang
5. Yu Hao
6. Junbing Huang
7. Yongqin Xi
8. Mahmoud Masoud

In Environmental Engineering

1. Shuai Shao
2. Zhenbing Yang
3. Lili Yang
4. Shuang Ma
5. Yu Hao
6. Qiang Liu
7. Xiaochen Cai
8. Hongyan Lei

In Renewable Energy, Sustainability and the Environment

1. Zhenbing Yang
2. Shuai Shao
3. Lili Yang
4. Shuang Ma
5. Yu Hao
6. Qiang Liu
7. Xiaochen Cai
8. Hongyan Lei

Citations in the corpus

• The effect of technological factors on China's carbon intensity: New evidence from a panel threshold model (2018, background): “…and trade that may enhance the environmental quality were identified by existing studies (e.g., Ang, 2009; Perkins and Neumayer, 2011; Guo et al., 2012; Ren et al., 2014; Yang et al., 2014; Seker et al., 2015; Shao et al., 2016; Liu et al., 2017; Behera and Dash, 2017; Huang et al., 2017a, 2017b).”
• Innovation-driven industrial green development: The moderating role of regional factors (2019, background): “Scholars have observed an inverted U-shaped relationship between enterprise-scale and innovation capability (Mei and Shao, 2016; Zhu et al., 2018).”
• Can China’s Energy Intensity Constraint Policy Promote Total Factor Energy Efficiency? Evidence from the Industrial Sector (2019, background): “Also, the DEA is easily affected by the statistical errors of sample data (Shao et al., 2016).”